JKISeason3-13_​Detecting Fraudulent Contracts

0 ×

Challenge 13
Level: Easy to Medium

Description: You work in the contracts department of a software company and are asked to detect fraudulent (or wrong) contracts based on their contract value. Given the PDF versions of the contracts, you need to extract their contract value (and, optionally, any other fields you find useful) and detect outliers among them. You can either use simpler outlier detection techniques, such as those based on statistics or visualization, or more advanced ones based on machine learning.

Author: Lada Rudnitckaia

URL: Dataset https://hub.knime.com/alinebessa/spaces/Just%20KNIME%20It!%20Season%203%20-%20Datasets/Challenge%2013%20-%20Dataset~PY1cXhvh92p6MY-E/

Nodes

• String Manipulation13 ×
• Cell Splitter6 ×
• Content Retriever (Labs)4 ×
• Column Filter3 ×
• Bar Chart2 ×
• Show all 15 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Javasnippet
• FeatureKNIME Math Expression (JEP)
• FeatureKNIME Statistics Nodes
• FeatureKNIME Textprocessing
• Show all 6 modules

Links

• No links available